جست‌وجوی استاد و پژوهشگر

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

Zoran Gajicمشاهده پروفایل

استاد

• Control Systems
• Energy Systems
• Wireless Communications
• +۴ مورد دیگر

Zoran Gajic is a Professor of Electrical and Computer Engineering at Rutgers University, where he has taught since 1984. He holds academic leadership roles including Graduate Program Director for the Electrical and Computer Engineering Department and President of the Rutgers AAUP-AFT Faculty Union. His expertise spans controls systems, energy systems (including solar, wind, and smart grids), wireless communications, and networking. Education: B.S. and M.S. in Electrical Engineering from University of Belgrade, followed by M.S. in Applied Mathematics and Ph.D. in Systems Science Engineering from Michigan State University (1984). Research focuses on control theory applications for energy systems and communication networks. He has authored/coauthored nearly 100 journal papers and eight books, including best-selling titles like Linear Dynamic Systems and Signals (translated into Chinese) and Lyapunov Matrix Equation in Systems Stability and Control (republished by Dover). His work includes innovations in multirate control systems, singular perturbation methods, and reinforcement learning applications. Professional recognitions include editorial roles across nine journals, five guest-edited special issues, and plenary lectures at international conferences. Ten of his 17 Ph.D. advisees hold faculty positions globally. Beyond academia, he is a chess master with Life Master ranking from the U.S. Chess Federation and World Chess Federation certification. Key contributions include foundational work on optimal control for renewable energy systems, sliding mode control algorithms, and system decomposition techniques. His research has been supported by NSF and industry partners like AT&T Bell Labs. He leads the Rutgers Center for Systems and Controls (SYCON) as Associate Director and actively contributes to standards through IEEE and IEC initiatives, particularly in power system protection and control system reliability.

• Wireless Sensor Networks
• Cyber-Physical Systems
• Network Protocols
• +۳ مورد دیگر

John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Jin Luمشاهده پروفایل

استادیار

• Machine Learning
• Optimization
• Bio-informatics
• +۶ مورد دیگر

Jin Lu is an Assistant Professor at the University of Georgia's School of Computing, part of the Franklin College of Arts & Sciences. He earned his Ph.D. (2019) and M.S. (2019) in Computer Science and Engineering from the University of Connecticut. Prior to his current role, he served as an Assistant Professor at the University of Michigan–Dearborn (2019–2023). Educational Background: Ph.D. in Computer Science and Engineering, University of Connecticut, 2019 M.S. in Computer Science and Engineering, University of Connecticut, 2019 Research Interests: Dr. Lu focuses on machine learning, optimization, bio-informatics, and smart mobility. His work spans federated learning, healthcare applications (e.g., depression and BMI monitoring), IoT systems, and computer vision. Recent projects explore AGI's potential in medical and educational contexts, leveraging models like CycleGAN and reinforcement learning. Grants & Funding: Develop digital brains to advance portable diagnosis of neurological conditions (Google, 2025) Lab/Teams: While specific lab affiliations are not explicitly stated, his research involves collaborations in interdisciplinary areas such as health informatics and smart mobility.

Marco Consalesمشاهده پروفایل

دانشیار

• Electronics
• Optics
• Fiber Optic Sensors
• +۳ مورد دیگر

Marco Consales is an Associate Professor at the Department of Engineering, University of Sannio. His research focuses on fiber optic sensors, with applications in structural health monitoring, radiation detection, and biomedical sensing. He has collaborated with CERN on projects involving radiation-tolerant sensors and beam pipe structural monitoring. Key areas include lab-on-fiber technology for cancer biomarker detection, soil moisture sensing, and aerospace structural monitoring. Education: Formal degrees not explicitly listed, but his academic position implies doctoral qualifications in Engineering/Electronics. Research Interests: Fiber optic sensors, nanotechnology integration, biomedical applications, environmental monitoring, and aerospace engineering. His work spans over 250 publications, with notable contributions in optical fiber meta-tips, radiation dosimetry, and soil water content monitoring. He has developed innovative sensors for CERN experiments and precision agriculture. His lab's work includes lab-on-fiber platforms for point-of-care diagnostics and advanced materials characterization.

• Robotics
• Machine Learning
• IoT Applications
• +۴ مورد دیگر

Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.

• Intelligent Transportation Systems
• Wireless Sensing
• Deep Learning
• +۳ مورد دیگر

Hadi EL ZEIN is a Researcher affiliated with the Université Technologique de Troyes (UTT). His work focuses on intelligent transportation systems, wireless sensing technologies, and healthcare applications leveraging machine learning. He specializes in human activity recognition using Wi-Fi signals and deep learning models, with notable contributions to fall detection and driver drowsiness alert systems. His research integrates real-time processing, signal analysis, and lightweight neural networks for practical deployment in smart environments. Recent publications highlight advancements in applying convolutional neural networks (CNN) to analyze wireless channel state information (CSI) for health monitoring and transportation safety. Contact: hadi.el_zein@utt.fr

Montserrat Rosمشاهده پروفایل

دانشیار

• Embedded Systems
• Sensor Networks Data Fusion
• Cyber-Physical Systems
• +۶ مورد دیگر

Montserrat Ros is an Associate Professor and Associate Dean (Education) at the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong, Australia. She has been with the university since 2006, initially joining as a Lecturer in Computer Engineering and progressing to her current senior academic and leadership roles. Her educational background includes: B.E.(Hons1)/B.Sc. double degree majoring in Computer Systems Engineering and Mathematics from the University of Queensland (2000) Ph.D. degree in Computer Engineering from the University of Queensland (2007) Professor Ros's research focuses on the intersection of embedded computing systems and practical engineering applications. Her work spans several key areas including embedded systems design, sensor network data fusion, cyber-physical systems development, and innovative approaches to engineering education. She has particular expertise in sensor-based localization techniques, computer architecture optimization, and code compression methodologies for resource-constrained environments. More recently, her research has expanded into machine learning applications for constrained systems and Internet of Things implementations. Analysis of her recent publication record reveals a strong emphasis on Internet of Things networks, UAV-based systems, and applications of artificial intelligence in both engineering education and manufacturing processes. Her work demonstrates a consistent pattern of bridging theoretical computer engineering concepts with practical real-world applications across diverse domains including healthcare, environmental monitoring, and industrial automation. Her significant contributions to academia have been recognized through numerous prestigious awards: 2019: AAUT Citation for Outstanding Contribution to Student Learning 2018: IEEE TALE 2018 Meritorious Service Award 2018: Featured in UOW Leadership in Education Booklet 2017: UOW Vice Chancellor's Award for Outstanding Contribution to Teaching and Learning 2016: UOW Women of Impact for inspiring young women in STEM 2015: UOW Vice Chancellor's Interdisciplinary Research Excellence Award 2012 & 2007: UOW Vice Chancellor's Awards for Teaching Excellence 2011: UOW Vice Chancellor's Award for Community Engagement Senior Fellow of WATTLE (Wollongong Academy for Tertiary Teaching & Learning Excellence) Professor Ros has secured substantial research funding across multiple projects spanning from 2006 to the present. Her grant portfolio demonstrates a consistent focus on engineering education innovation, sensor network development, and practical applications of embedded systems. Notable projects include "The AI Tutor: Enabling 24x7 student support across engineering" (2024), "AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods" (2023), and "Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane" (2022). She actively supervises HDR students and has completed multiple successful candidatures. Her leadership extends beyond research and teaching, as evidenced by her role as Associate Dean (Education) for the Faculty of Engineering and Information Sciences. She is also actively involved in community engagement through volunteering with the State Emergency Service (Wollongong SES) and Athletics Wollongong Club.

• Robotics
• Human-Robot Interaction
• Autonomous Agent Systems
• +۳ مورد دیگر

Mauro Dragone is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a BSc in Computer Science from Bologna University (1999) and a PhD from University College Dublin (2009). Before academia, he worked as a software developer and project manager. His research focuses on robotics, human-robot interaction, IoT, and Ambient Assisted Living (AAL), with leadership roles in EU projects like METRICS/HEART-MET and the OpenAAL initiative. He co-directs the MSc Robotics program and established the Robotic Assisted Living Tested lab within the UK National Robotarium. Key research interests include assistive robotics for frailty, healthcare robotics, and self-adaptive robotic systems. Notable contributions include the FP7 RUBICON project (2011-2014) and the Cognitive Assistive Robotic Environment (CARE) group. He has received awards such as the 2024 Principal's Research Impact Award and 2022 Research Team of the Year. Recent articles emphasize healthcare applications, modular robotics, and trustworthy AI. His work aligns with UN SDGs addressing healthy aging and sustainable cities.

Ayusman Senمشاهده پروفایل

استاد

• Nanotechnology
• Materials Science
• Chemical Biology
• +۷ مورد دیگر

Ayusman Sen is the Verne M. Willaman Professor of Chemistry and Distinguished Professor of Chemistry at Pennsylvania State University. He holds a joint appointment in the Department of Chemical Engineering. His research focuses on self-powered nano/micromotors, dynamic materials, and enzyme-driven systems, with applications in smart materials and active matter. Sen’s work integrates chemical synthesis, catalytic energy harvesting, and emergent phenomena to create adaptive systems capable of performing complex tasks. Education: B.Sc. (Honours), University of Calcutta, India (1970) M.Sc., Indian Institute of Technology, Kanpur, India (1973) Ph.D., University of Chicago, USA (1978) Research Interests: Design of self-powered nanomotors and micropumps Chemically controlled assembly and motion of colloidal systems Enzyme cascade systems for programmable behavior Active matter and collective dynamics Key Contributions: Pioneered enzyme-powered micromotors for biomedical and environmental applications Developed theoretical frameworks for chemotactic assembly and non-equilibrium systems Engineered autonomous fluid-pumping systems using multi-enzyme networks Awards and Honors: Langmuir Lecture Award (American Chemical Society) Humboldt Prize (Alexander von Humboldt Foundation) Fellow of the Royal Society of Chemistry Paul J. Flory Award (IBM) Labs and Teams: His research group, the Sen Research Group, focuses on interdisciplinary projects at the interface of chemistry, materials science, and engineering. Current efforts explore light-driven systems, programmable fluidics, and bioinspired materials.

• Machine Learning
• Computer Vision
• Human Behavior Analysis
• +۵ مورد دیگر

Dr. Harshala Gammulle is a Research Fellow at Queensland University of Technology (QUT), School of Electrical Engineering & Robotics. She holds a PhD in Computer Vision from QUT (2019), receiving the QUT Executive Dean's Commendation for Outstanding Doctoral Thesis. Her expertise spans machine learning, computer vision, and spatio-temporal modeling for human behavior understanding. She leads interdisciplinary projects with funding from DST Group, SmartSat CRC, QLD DESI, and others. Research focuses include: human action recognition, medical anomaly detection, satellite image analysis, and AI for environmental monitoring. Key projects involve quantum-classical hybrid ML for biomedical signal analysis, disaster forecasting via hyperspectral data, and autonomous combat vision systems. She has supervised PhD/MPhil candidates in ML and quantum hybrid ML. Education: PhD (Computer Vision, QUT 2019), BSc (University of Peradeniya, Sri Lanka). Awards: WiT Emerging Achiever Technology Award finalist (2021), University Award for Academic Excellence (2015). Teaching includes units like Digital Signals and Image Processing (EGH444), and Computing & Data for Engineers (EGB103). Current grants involve QLD DESI, SmartSat CRC, and Rheinmetall Defence Australia collaborations. Active in labs like SAIVT and QUT's Early Career Research schemes.

Lokesh Dasمشاهده پروفایل

استادیار

• Autonomous Vehicles
• Traffic Control Systems
• Deep Learning
• +۴ مورد دیگر

Dr. Lokesh Das is an Assistant Professor in the School of Computing at Wichita State University’s College of Engineering. His research focuses on developing advanced algorithms for autonomous vehicle traffic control systems using deep learning and V2X communication technologies. Key interests include reinforcement learning applications in real-world traffic scenarios, IoT security frameworks, and smart infrastructure integration. Research Interests: Autonomous Vehicle Coordination Reinforcement Learning for Traffic Systems IoT Security and Edge Computing Dynamic Wireless Charging Solutions Pedestrian Safety Prediction His recent work emphasizes multi-agent systems for traffic optimization and safety-aware adaptive control mechanisms. No specific awards are listed, but his publications reflect impactful contributions to intelligent transportation systems and machine learning applications. Advising and grants information is not explicitly provided in the text. Dr. Das’s research lab likely focuses on real-world implementation of AI-driven traffic solutions.

Jamey Jacobمشاهده پروفایل

استاد

• Aerodynamics
• UAV Design & Flight Testing
• Vortex Dynamics
• +۵ مورد دیگر

Jamey Jacob, Ph.D., P.E., is a Professor and John Hendrix Chair in Mechanical and Aerospace Engineering at Oklahoma State University, leading the Oklahoma Applied Research Institute (OAIRE). He holds a Ph.D. from UC Berkeley (1995), with earlier degrees from the same institution and the University of Oklahoma. His research focuses on aerodynamics, UAV design, vortex dynamics, geophysical flows, and autonomous systems. Notable projects include solar balloon flight dynamics, eclipse observations, and advanced air mobility (AAM) weather systems. Jacob has pioneered UAV-based weather sensing and developed innovative aerostructures, including inflatable systems. He has received over 15 prestigious awards, including the Regents Distinguished Teacher (2011) and Oklahoma Innovator of the Year (2010). His recent work emphasizes urban wind field mapping and stratospheric balloon applications for planetary science. Jacob’s lab, OAIRE, integrates aerospace engineering with environmental and operational challenges, advancing both academic and applied frontiers.

Zeina ELRAWASHDEHمشاهده پروفایل

پژوهشگر

• Measurements and Controls
• Fiber-Optic Sensors
• Artificial Intelligence of Things (AIoT)
• +۳ مورد دیگر

Zeina ELRAWASHDEH is a Researcher Lecturer at the Institut Catholique d'Arts et Métiers (ICAM), based at the Grand Paris Sud campus. Her research focuses on Measurements and Controls, with a particular emphasis on fiber-optic sensors, multi-agent systems, and IoT integration for smart infrastructure. She collaborates with prestigious research laboratories globally to develop innovative solutions in energy optimization, smart cities, and precision engineering. Her expertise spans applied research in fiber-optic displacement sensors, algorithm optimization for sensor performance, and user-centric building automation systems. Zeina’s work bridges theoretical advancements with practical applications in manufacturing, energy, and urban systems. She actively contributes to international academic discourse through peer-reviewed publications and participates in ICAM’s strong industry partnerships for applied research outcomes. Zeina’s research portfolio demonstrates a trajectory toward integrating AI and IoT with traditional engineering challenges, addressing technical gaps in sensor networks, multi-agent coordination, and precision machining. Her recent work highlights advancements in smart city infrastructure and energy-efficient building systems. While no awards are explicitly mentioned, her involvement in ICAM’s research initiatives underscores her commitment to impactful, industry-relevant science. Collaborations with global companies and academic institutions position her at the forefront of applied engineering research.